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The “text of life” in Vito Acconci’s Diary of a Body

2016· article· en· W2734342237 on OpenAlexaff
Stamatina Dimakopoulou

Bibliographic record

VenueSillages critiques · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À ses débuts, l’artiste conceptuel Vito Acconci combine dans sa pratique poésie, vidéo, photographie et performance, engageant la présence physique du corps. Il explore aussi la tension entre le caractère éphémère de la performance et les formes variées avec lesquelles ses activités ont été pensées, enregistrées et documentées. Les archives volumineuses assemblées par Gregory Volk dans The Diary of a Body 1969-1973 méritent d’être examinées à cet égard, car les documents visuels et verbaux ne sont pas seulement secondaires par rapport à la nature unique et éphémère de l’événement, mais font partie intégrante de l’œuvre. Cet essai revisite les notes et les photographies de Vito Acconci comme un assemblage qui conserve la substance expérientielle de la pratique artistique, et qui témoigne aussi de son caractère in/transitif, invitant une réflexion sur les liens entre écriture, performance et expérience. Constituant un paratexte aux performances et une continuation des premiers écrits, le journal possède une valeur documentaire contradictoire dont on analyse ici les enjeux.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.009
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.270
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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